Interpretable Active Learning.
Richard L. PhillipsKyu Hyun ChangSorelle A. FriedlerPublished in: CoRR (2017)
Keyphrases
- active learning
- semi supervised
- selective sampling
- learning algorithm
- learning strategies
- labeled data
- machine learning
- classification rules
- supervised learning
- training examples
- random sampling
- learning process
- relevance feedback
- experimental design
- cost sensitive
- unlabeled data
- training set
- neural network
- pool based active learning
- sample selection
- imbalanced data classification
- online learning
- sample complexity
- association rules
- annotation effort
- batch mode active learning
- databases
- data sets